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      "title": "Pipeline in-progress",
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      "targets": [
        {"refId": "A", "expr": "sum by (status) (rate(mnemosyne_pipeline_items_total[5m]))", "legendFormat": "{{status}}"},
        {"refId": "B", "expr": "sum by (error_type) (rate(mnemosyne_embedding_api_errors_total[5m]))", "legendFormat": "api err: {{error_type}}"}
      ],
      "fieldConfig": {"defaults": {"unit": "ops"}},
      "options": {"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}}
    },
    {
      "id": 330,
      "type": "timeseries",
      "title": "Neo4j @ umbriel — transactions (rate / open)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 55},
      "targets": [
        {"refId": "A", "expr": "rate(neo4j_monitor_tx_totalOpenedTx{instance=~\"umbriel.*\"}[5m])", "legendFormat": "{{instance}} open rate"},
        {"refId": "B", "expr": "neo4j_monitor_tx_currentOpenedTx{instance=~\"umbriel.*\"}", "legendFormat": "{{instance}} current open"}
      ],
      "fieldConfig": {"defaults": {"unit": "short"}},
      "options": {"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}}
    },
    {
      "id": 331,
      "type": "stat",
      "title": "Neo4j @ umbriel — rollback ratio (10m)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 12, "y": 55},
      "targets": [
        {"refId": "A", "expr": "rate(neo4j_monitor_tx_rolledBackTx{instance=~\"umbriel.*\"}[10m]) / clamp_min(rate(neo4j_monitor_tx_totalOpenedTx{instance=~\"umbriel.*\"}[10m]), 0.0001)", "legendFormat": "{{instance}}"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "textMode": "value_and_name"},
      "fieldConfig": {"defaults": {"unit": "percentunit", "thresholds": {"mode": "absolute", "steps": [{"color": "green"}, {"color": "orange", "value": 0.05}, {"color": "red", "value": 0.10}]}}}
    },
    {
      "id": 332,
      "type": "stat",
      "title": "Neo4j @ umbriel — store size",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 18, "y": 55},
      "targets": [
        {"refId": "A", "expr": "neo4j_monitor_store_totalStoreSize{instance=~\"umbriel.*\"}", "legendFormat": "{{instance}}"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "textMode": "value_and_name"},
      "fieldConfig": {"defaults": {"unit": "bytes"}}
    },

    {
      "id": 400,
      "type": "row",
      "title": "Pallas Agents",
      "collapsed": false,
      "gridPos": {"h": 1, "w": 24, "x": 0, "y": 63}
    },
    {
      "id": 401,
      "type": "stat",
      "title": "Instance up",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 0, "y": 64},
      "targets": [
        {"refId": "A", "expr": "up{job=\"pallas\", instance=~\"$pallas_inst\"}", "legendFormat": "{{instance}}"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"], "fields": ""}, "colorMode": "background", "textMode": "value_and_name"},
      "fieldConfig": {"defaults": {"mappings": [{"type": "value", "options": {"0": {"text": "DOWN", "color": "red"}, "1": {"text": "UP", "color": "green"}}}], "thresholds": {"mode": "absolute", "steps": [{"color": "red"}, {"color": "green", "value": 1}]}}}
    },
    {
      "id": 402,
      "type": "stat",
      "title": "Aggregate agent health (min)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 6, "y": 64},
      "targets": [
        {"refId": "A", "expr": "min by (instance) (pallas_agent_health_status{instance=~\"$pallas_inst\"})", "legendFormat": "{{instance}}"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "colorMode": "value", "textMode": "value_and_name"},
      "fieldConfig": {"defaults": {"mappings": [{"type": "value", "options": {"0": {"text": "ERROR", "color": "red"}, "0.5": {"text": "DEGRADED", "color": "orange"}, "1": {"text": "OK", "color": "green"}}}], "thresholds": {"mode": "absolute", "steps": [{"color": "red"}, {"color": "orange", "value": 0.5}, {"color": "green", "value": 1}]}}}
    },
    {
      "id": 403,
      "type": "stat",
      "title": "Downstream MCPs up (ratio)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 12, "y": 64},
      "targets": [
        {"refId": "A", "expr": "sum by (instance) (pallas_downstream_up{instance=~\"$pallas_inst\"}) / clamp_min(count by (instance) (pallas_downstream_up{instance=~\"$pallas_inst\"}), 1)", "legendFormat": "{{instance}}"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "colorMode": "value", "textMode": "value_and_name"},
      "fieldConfig": {"defaults": {"unit": "percentunit", "thresholds": {"mode": "absolute", "steps": [{"color": "red"}, {"color": "orange", "value": 0.5}, {"color": "green", "value": 1}]}}}
    },
    {
      "id": 404,
      "type": "stat",
      "title": "Turn error ratio (5m)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 18, "y": 64},
      "targets": [
        {"refId": "A", "expr": "sum by (instance) (rate(pallas_send_message_total{outcome=\"error\", instance=~\"$pallas_inst\"}[5m])) / clamp_min(sum by (instance) (rate(pallas_send_message_total{instance=~\"$pallas_inst\"}[5m])), 0.0001)", "legendFormat": "{{instance}}"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "colorMode": "value", "textMode": "value_and_name"},
      "fieldConfig": {"defaults": {"unit": "percentunit", "thresholds": {"mode": "absolute", "steps": [{"color": "green"}, {"color": "orange", "value": 0.01}, {"color": "red", "value": 0.05}]}}}
    },
    {
      "id": 410,
      "type": "timeseries",
      "title": "Turn latency p95 by agent (5m)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 68},
      "targets": [
        {"refId": "A", "expr": "histogram_quantile(0.95, sum by (le, agent, instance) (rate(pallas_send_message_duration_seconds_bucket{instance=~\"$pallas_inst\", agent=~\"$agent\"}[5m])))", "legendFormat": "{{instance}}/{{agent}}"}
      ],
      "fieldConfig": {"defaults": {"unit": "s"}},
      "options": {"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}}
    },
    {
      "id": 411,
      "type": "table",
      "title": "Long-running agents — p99 turn (5m)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 12, "y": 68},
      "targets": [
        {"refId": "A", "expr": "histogram_quantile(0.99, sum by (agent, instance, le) (rate(pallas_send_message_duration_seconds_bucket{instance=~\"$pallas_inst\", agent=~\"$agent\"}[5m])))", "legendFormat": "", "format": "table", "instant": true}
      ],
      "fieldConfig": {"defaults": {"unit": "s", "custom": {"align": "auto"}, "thresholds": {"mode": "absolute", "steps": [{"color": "green"}, {"color": "orange", "value": 30}, {"color": "red", "value": 60}]}, "color": {"mode": "thresholds"}}, "overrides": [{"matcher": {"id": "byName", "options": "Value"}, "properties": [{"id": "displayName", "value": "p99 (s)"}, {"id": "custom.cellOptions", "value": {"type": "color-background"}}]}]},
      "options": {"showHeader": true, "sortBy": [{"displayName": "p99 (s)", "desc": true}]},
      "transformations": [{"id": "organize", "options": {"excludeByName": {"Time": true, "__name__": true, "job": true}}}]
    },
    {
      "id": 420,
      "type": "timeseries",
      "title": "Turn errors per agent (15m increase)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 76},
      "targets": [
        {"refId": "A", "expr": "sum by (agent, instance) (increase(pallas_send_message_total{outcome=\"error\", instance=~\"$pallas_inst\", agent=~\"$agent\"}[15m]))", "legendFormat": "{{instance}}/{{agent}}"}
      ],
      "fieldConfig": {"defaults": {"unit": "short"}},
      "options": {"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}}
    },
    {
      "id": 421,
      "type": "timeseries",
      "title": "Tokens/sec by kind (5m)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 12, "y": 76},
      "targets": [
        {"refId": "A", "expr": "sum by (kind) (rate(pallas_llm_tokens_total{instance=~\"$pallas_inst\", agent=~\"$agent\"}[5m]))", "legendFormat": "{{kind}}"}
      ],
      "fieldConfig": {"defaults": {"unit": "short", "custom": {"drawStyle": "line", "fillOpacity": 20, "stacking": {"mode": "normal"}}}},
      "options": {"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}}
    },
    {
      "id": 422,
      "type": "table",
      "title": "Top-burning agents (24h, input+output tokens)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 84},
      "targets": [
        {"refId": "A", "expr": "topk(10, sum by (agent, model, instance) (increase(pallas_llm_tokens_total{kind=~\"input|output\", instance=~\"$pallas_inst\", agent=~\"$agent\"}[24h])))", "legendFormat": "", "format": "table", "instant": true}
      ],
      "fieldConfig": {"defaults": {"unit": "short"}, "overrides": [{"matcher": {"id": "byName", "options": "Value"}, "properties": [{"id": "displayName", "value": "tokens (24h)"}, {"id": "custom.cellOptions", "value": {"type": "gauge", "mode": "gradient"}}]}]},
      "options": {"showHeader": true, "sortBy": [{"displayName": "tokens (24h)", "desc": true}]},
      "transformations": [{"id": "organize", "options": {"excludeByName": {"Time": true, "__name__": true, "job": true}}}]
    },
    {
      "id": 423,
      "type": "stat",
      "title": "Cache effectiveness (1h)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 12, "y": 84},
      "targets": [
        {"refId": "A", "expr": "sum(rate(pallas_llm_tokens_total{kind=\"cache_read\", instance=~\"$pallas_inst\"}[1h])) / clamp_min(sum(rate(pallas_llm_tokens_total{kind=~\"input|cache_read\", instance=~\"$pallas_inst\"}[1h])), 0.0001)", "legendFormat": "cache hit"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "colorMode": "value", "textMode": "value", "graphMode": "area"},
      "fieldConfig": {"defaults": {"unit": "percentunit", "thresholds": {"mode": "absolute", "steps": [{"color": "red"}, {"color": "orange", "value": 0.2}, {"color": "green", "value": 0.5}]}}}
    },
    {
      "id": 424,
      "type": "stat",
      "title": "LLM turns/sec (5m)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 18, "y": 84},
      "targets": [
        {"refId": "A", "expr": "sum(rate(pallas_llm_turns_total{instance=~\"$pallas_inst\", agent=~\"$agent\"}[5m]))", "legendFormat": "turns/s"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "colorMode": "value", "textMode": "value", "graphMode": "area"},
      "fieldConfig": {"defaults": {"unit": "ops"}}
    },
    {
      "id": 430,
      "type": "timeseries",
      "title": "Cypher tool calls — rate by outcome (Pallas → ariel)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 92},
      "targets": [
        {"refId": "A", "expr": "sum by (outcome) (rate(pallas_tool_calls_total{server=\"neo4j_cypher\", instance=~\"$pallas_inst\", agent=~\"$agent\"}[5m]))", "legendFormat": "{{outcome}}"}
      ],
      "fieldConfig": {"defaults": {"unit": "ops"}},
      "options": {"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}}
    },
    {
      "id": 431,
      "type": "timeseries",
      "title": "Cypher tool calls — p95 latency by agent",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 12, "y": 92},
      "targets": [
        {"refId": "A", "expr": "histogram_quantile(0.95, sum by (le, agent, instance) (rate(pallas_tool_call_duration_seconds_bucket{server=\"neo4j_cypher\", instance=~\"$pallas_inst\", agent=~\"$agent\"}[5m])))", "legendFormat": "{{instance}}/{{agent}}"}
      ],
      "fieldConfig": {"defaults": {"unit": "s"}},
      "options": {"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}}
    },
    {
      "id": 440,
      "type": "timeseries",
      "title": "Neo4j @ ariel — transactions (rate / open)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 8, "w": 12, "x": 0, "y": 100},
      "targets": [
        {"refId": "A", "expr": "rate(neo4j_monitor_tx_totalOpenedTx{instance=~\"ariel.*\"}[5m])", "legendFormat": "{{instance}} open rate"},
        {"refId": "B", "expr": "neo4j_monitor_tx_currentOpenedTx{instance=~\"ariel.*\"}", "legendFormat": "{{instance}} current open"}
      ],
      "fieldConfig": {"defaults": {"unit": "short"}},
      "options": {"legend": {"displayMode": "list", "placement": "bottom", "showLegend": true}}
    },
    {
      "id": 441,
      "type": "stat",
      "title": "Neo4j @ ariel — rollback ratio (10m)",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 12, "y": 100},
      "targets": [
        {"refId": "A", "expr": "rate(neo4j_monitor_tx_rolledBackTx{instance=~\"ariel.*\"}[10m]) / clamp_min(rate(neo4j_monitor_tx_totalOpenedTx{instance=~\"ariel.*\"}[10m]), 0.0001)", "legendFormat": "{{instance}}"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "textMode": "value_and_name"},
      "fieldConfig": {"defaults": {"unit": "percentunit", "thresholds": {"mode": "absolute", "steps": [{"color": "green"}, {"color": "orange", "value": 0.05}, {"color": "red", "value": 0.10}]}}}
    },
    {
      "id": 442,
      "type": "stat",
      "title": "Neo4j @ ariel — store size",
      "datasource": {"type": "prometheus", "uid": "${prom}"},
      "gridPos": {"h": 4, "w": 6, "x": 18, "y": 100},
      "targets": [
        {"refId": "A", "expr": "neo4j_monitor_store_totalStoreSize{instance=~\"ariel.*\"}", "legendFormat": "{{instance}}"}
      ],
      "options": {"reduceOptions": {"calcs": ["lastNotNull"]}, "textMode": "value_and_name"},
      "fieldConfig": {"defaults": {"unit": "bytes"}}
    }
  ]
}